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AuthorNashwan, Abdulqadir J.
AuthorHani, Salam
Available date2024-03-13T13:38:03Z
Publication Date2023
Publication NameContemporary Clinical Trials Communications
ResourceScopus
ISSN24518654
URIhttp://dx.doi.org/10.1016/j.conctc.2023.101223
URIhttp://hdl.handle.net/10576/53043
AbstractHealthcare is one of the sectors where artificial intelligence (AI) is currently viewed as a crucial driving factor. Patient care, medical research, and clinical trial enrollment could all significantly improve due to AI's incorporation into electronic health records (EHRs). This short communication highlights how AI may improve the recruitment process regarding speed, accuracy, and overall cancer clinical trial efficiency. AI can automate this procedure by utilizing machine learning (ML) algorithms, identifying potential trial participants quickly and precisely. Many challenges could be addressed due to this integration, including data privacy and security that can be resolved through cutting-edge encryption techniques and differential privacy algorithms that ensure data anonymization. Another significant obstacle is the lack of common EHR formats and interoperability that can be addressed by creating a standardized structured layout. Automating and improving recruitment processes with AI may speed up research, increase the effectiveness of clinical trials, and open the door to more specialized cancer treatments.
SponsorOpen Access funding provided by the Qatar National Library.
Languageen
PublisherElsevier
SubjectArtificial intelligence' Cancer' Clinical trials' Electronic health records' Subject recruitment
TitleTransforming cancer clinical trials: The integral role of artificial intelligence in electronic health records for efficient patient recruitment
TypeArticle
Volume Number36
dc.accessType Open Access


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